Objective: Epileptic patients have a higher relapse risk when EEGs before the initiation of anti-epileptic drug (AED) withdrawal show epileptiform activity. The purpose of this study is to assess the characteristics of ambulatory EEGs before the decision to withdraw AEDs and to clarify potential influencing factors for abnormal EEGs.
Methods: 214 epileptic patients were included in the study. These patients were seizure-free for 3-5 years on AED medication. Ambulatory 24-h EEGs were performed before the decision to withdraw AEDs. The demographical data and clinical information of the patients were used for the analysis of influencing factors for EEG findings.
Results: Ambulatory EEGs showed abnormalities in 41.1% of the patients (88/214). Of 88 patients with abnormal EEGs, 43 had unequivocal epileptic discharges; and 45 only had nonspecific EEG abnormalities. In our analysis, the potential factors for abnormal EEGs included female, delayed therapy, longer duration of intractability/treatment response time and medications failed.
Conclusions: In many patients ambulatory EEGs remain abnormal even after seizure-free for 3-5 years; and many factors influenced the characteristics of the EEGs. The findings can assist in establishment of therapeutic principles.
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http://dx.doi.org/10.1016/j.eplepsyres.2011.06.008 | DOI Listing |
BMC Health Serv Res
August 2024
Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Background: Epilepsy and other seizure disorders account for a high disease burden in Germany. As a timely diagnosis and accurate treatment are crucial, improving the management of these disorders is important. Outside of Germany, outpatient long-term video EEGs (ALVEEGs) have demonstrated the potential to support the diagnosis and management of epilepsy and other seizure disorders.
View Article and Find Full Text PDFEpilepsy Behav
January 2024
Boston Childreńs Hospital, Boston, USA. Electronic address:
In the last century, 10-20 lead EEG recordings became the gold standard of surface EEG recordings, and the 10-20 system provided comparability between international studies. With the emergence of advanced EEG sensors, that may be able to record and process signals in much more compact units, this additional sensor technology now opens up opportunities to revisit current ambulatory EEG recording practices and specific patient populations, and even electrodes that are embedded into the head surface. Here, we aim to provide an overview of current limited sensor long-term EEG systems.
View Article and Find Full Text PDFClin Neurophysiol
October 2023
Clinical Neurophysiology, Institute for Technical Medicine, University of Twente, Technical Medical Centre, Enschede, The Netherlands; Department of Neurology and Neurophysiology, Medisch Spectrum Twente, Enschede, The Netherlands. Electronic address:
Objective: Interictal epileptiform discharges (IED) are hallmark biomarkers of epilepsy which are typically detected through visual analysis. Deep learning has shown potential in automating IED detection, which could reduce the burden of visual analysis in clinical practice. This is particularly relevant for ambulatory electroencephalograms (EEGs), as these entail longer review times.
View Article and Find Full Text PDFJ Clin Neurophysiol
July 2023
Alberta Children's Hospital Research Institute & Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB, Canada.
Purpose: The clinical utility of pediatric ambulatory-EEG (A-EEG) has been studied for decades, but limited information exists regarding which variables influence its utility. The authors aimed to evaluate clinical/EEG variables that may influence A-EEG yields and to develop a pathway for A-EEG utilization in children.
Methods: Single-center retrospective review of A-EEGs performed from July 2019 to January 2021 in a tertiary referral center.
Epilepsia
October 2023
Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Objective: Individuals with epilepsy often have memory difficulties, and older adults with epilepsy are especially vulnerable, due to the additive effect of aging. The goal of this study was to assess factors that are associated with 24-h memory retention in older adults with epilepsy.
Methods: Fifty-five adults with epilepsy, all aged >50 years, performed a declarative memory task involving the recall of the positions of 15 card pairs on a computer screen prior to a 24-h ambulatory electroencephalogram (EEG).
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